MeasurementPub Date : 2024-11-16DOI: 10.1016/j.measurement.2024.116258
Hussein Kareem Elaibi , Farah Fakhir Mutlag , Ebru Halvaci , Aysenur Aygun , Fatih Sen
{"title":"Review: Comparison of traditional and modern diagnostic methods in breast cancer","authors":"Hussein Kareem Elaibi , Farah Fakhir Mutlag , Ebru Halvaci , Aysenur Aygun , Fatih Sen","doi":"10.1016/j.measurement.2024.116258","DOIUrl":"10.1016/j.measurement.2024.116258","url":null,"abstract":"<div><div>The development of non-invasive sensor detection systems is crucial for the effective diagnosis of many types of cancer, including breast cancer. Currently, many diagnostic tools such as CT, mammography, MRI, and ultrasound are used, but more convenient and user-friendly sensors are under development. New sensors provide immediate and non-invasive ways to assess the impact of treatment on physiologic markers and overall disease progression. Innovative devices like iBreastExam, Skinsar™, and iTBra, include personalized sensors such as wearables and non-wearable sensors implanted inside the body. Early methods of detecting breast cancer can be accurate and cost-effective. Recurrence can be predicted and monitored through chemical sensors that detect tumor DNA or proteins circulating in the blood. In addition, monitoring patients with cancer using smart implants, thermal sensors, and image-based sensors provides capability at the level of tissue structure. This article provides an overview of the various sensors used in monitoring cancer patients.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116258"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine learning prediction of steel–concrete composite beam temperatures during hot asphalt paving","authors":"Yuping Zhang , Yonghao Chu , Jiayao Zou , Chenyu Yu","doi":"10.1016/j.measurement.2024.116257","DOIUrl":"10.1016/j.measurement.2024.116257","url":null,"abstract":"<div><div>In the bridge construction process, the temperature distribution within the steel–concrete composite beam (SCCB) under hot asphalt paving is not negligible in its impact on the structural performance. However, traditional static analysis methods for bridge temperature fields, such as temperature measurements and numerical simulations, are plagued by high workload and costly equipment requirements. Therefore, in this study, we explore a machine learning (ML) approach based on field measurements to predict the temperature field of SCCB during hot asphalt paving. The result showed that of the various ML algorithms tested, the K-Nearest Neighbors (KNN) algorithm provided the highest predictive accuracy for the temperature field of SCCB. Through feature selection and experimental analysis, we identify beam temperature (<em>T</em><sub>bt</sub>), hot asphalt temperature (<em>T</em><sub>s</sub>), ambient temperature (<em>T</em><sub>a</sub>), and box interior temperature (<em>T</em><sub>box</sub>) as key features for predicting the temperature of SCCB during hot asphalt paving. This study demonstrates that ML is an powerful tool for predicting the thermal behavior of bridge structures, with potential widespread application in identifying temperature evolution in bridge structures.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116257"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Noiseless nanosensor for non-invasive recording of biopotentials","authors":"D.K. Avdeeva , N.V. Turushev , M.M. Yuzhakov , M.L. Ivanov , A.I. Kornienko , S.I. Enshin , I.V. Maksimov , A.G. Syrkina","doi":"10.1016/j.measurement.2024.116251","DOIUrl":"10.1016/j.measurement.2024.116251","url":null,"abstract":"<div><div>We have studied the intrinsic noise of nanosensors. Four technologies for incorporation of silver nanoparticles into porous aluminum–silicon oxide ceramic plates were tested. Before incorporation, the pore volume was 11 %, the pore size was 1 – 5 µm, and the surface area of the pores was 0.182 m<sup>2</sup>. Group (1) included nanoparticles of 167 – 952 nm in size, nanosilver mass was 1.5 – 35.0 %; Group (2) included nanoparticles of 70 – 400 nm in size, nanosilver mass was 0.4 – 68 %; Group (3) included nanoparticles of 49 – 324 nm in size, nanosilver mass was 0.6 – 72.0 %; Group (4) included nanoparticles of 57 – 142 nm in size, nanosilver mass was 12.92 – 31.29 %. After silver nanoparticle incorporation, the pore volume attained 9 %, 8 %, 7 %, and 10 %,<!--> <!-->respectively. The self-noise energy of nanosensors made of Group (4) plates was virtually zero. Noiseless nanosensors enabled recording of cardiac micropotentials from a<!--> <!-->level<!--> <!-->of<!--> <!-->50<!--> <!-->nV.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116251"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-16DOI: 10.1016/j.measurement.2024.116262
Chao Wang, Tao Zhu, Bing Yang, Shoune Xiao, Guangwu Yang
{"title":"Assessment of longitudinal load spectrum characteristics and structural fatigue damage of metro vehicle body in service","authors":"Chao Wang, Tao Zhu, Bing Yang, Shoune Xiao, Guangwu Yang","doi":"10.1016/j.measurement.2024.116262","DOIUrl":"10.1016/j.measurement.2024.116262","url":null,"abstract":"<div><div>Aiming at the structural integrity requirements of service vehicles, there is an urgent need to construct a set of analytical methods based on service load characterization to realize the life assessment of the critical weak regions of the vehicle body. This study measured the longitudinal load spectrum of a metro vehicle body under a typical service line using a calibrated coupler and traction bar. Based on the signal characteristics of the longitudinal loads, a dynamic load feature decomposition method is proposed to decompose the longitudinal load features into trend and fluctuation signals to reflect the overall and local laws. The longitudinal load transfer characteristics of the vehicle body under traction, braking, linear, and curved conditions are innovatively analyzed, and a longitudinal load distribution ratio coefficient with generality is proposed as the input of effective service load. The service stress spectrum of the vital points of the vehicle body is constructed, which can more comprehensively and realistically respond to the service stress state of the vehicle body compared with the standard design loads, which further improves the accuracy of the structural integrity assessment.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116262"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the design of posture adjustment structure and control system of carrying robot based on the bionic characteristics of pupae structure","authors":"Jing Hu , Xiang Gao , Jun-chao Niu , Xin-ming Zhang","doi":"10.1016/j.measurement.2024.116240","DOIUrl":"10.1016/j.measurement.2024.116240","url":null,"abstract":"<div><div>This paper addresses the challenge of incorrect initial positioning of critical patients during lifting and transportation, which can result in secondary injuries due to manual handling. This study proposes a positioning adjustment structure and control strategy for a lifting and transportation robot, inspired by the morphological characteristics of the pupal structure. The positioning adjustment mechanism determines the necessary adjustment values for the patient’s positioning by establishing a human body coordinate system and calculating the difference between the patient’s actual position and the target position. This mechanism achieves optimal positioning by simulating the oscillation of body segments characteristic of the pupal structure. Additionally, this study establishes a dynamic mathematical model for the overall lifting structure and determine its motion parameters. An order for patient body positioning and adjustment is derived based on the twisting amplitude of the human body. A PID controller is designed for the overall transport structure, incorporating optimization through a particle swarm optimization algorithm. This methodology efficiently mitigates excessive overshoot and accelerates convergence towards the target value, significantly minimizing patient discomfort and fluctuation during the positioning procedure.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116240"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A two-stage mitigation method for optical turbulence-induced errors in vision-based structural displacement measurement","authors":"Xiulin Zhang , Wensong Zhou , Xize Chen , Yonghuan Wang , Qi Wu","doi":"10.1016/j.measurement.2024.116261","DOIUrl":"10.1016/j.measurement.2024.116261","url":null,"abstract":"<div><div>Vision-based structural displacement measurement techniques have been widely applied. However, the visual sensors used for remote monitoring of structures in high-temperature weather are easily affected by optical turbulence, which introduces errors in displacement measurement. Therefore, this paper proposes a two-stage optical turbulence-induced error alleviation method. In the first stage, the steerable pyramid method is used to decompose the monitoring video and perform temporal filtering on the phase, which can significantly attenuate the motion and distortion caused by optical turbulence in the video. In the second stage, a feature point matching method considering the weighted distance is used to track the multi-point displacement in the reconstructed video to improve the robustness of feature point tracking, and the results are spatially filtered to improve measurement accuracy. The effectiveness of the proposed method has been verified through laboratory experiments and on-site testing.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116261"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-16DOI: 10.1016/j.measurement.2024.116227
Hui Wang , Ji Fan , Tao Liu , Luyao Yan , Hongbin Zhang , Grace Li Zhang , Rolf Findeisen
{"title":"Deep learning-based image analysis with RTFormer network for measuring 2D crystal size distribution during cooling crystallization of β form L-glutamic acid","authors":"Hui Wang , Ji Fan , Tao Liu , Luyao Yan , Hongbin Zhang , Grace Li Zhang , Rolf Findeisen","doi":"10.1016/j.measurement.2024.116227","DOIUrl":"10.1016/j.measurement.2024.116227","url":null,"abstract":"<div><div>In this paper, a deep learning-based image analysis method is proposed for in-situ measurement of two-dimensional (2D) crystal size distribution during the cooling crystallization process of β form L-glutamic acid (β-LGA). Firstly, an image quality assessment strategy is presented for in-situ snapshotted crystal images to distinguish different crystallization stages, followed by image enhancement for the snapshotted images in each stage to facilitate analysis. Then, an edge-guided network based on the RTFormer network is developed to acquire precise crystal image segmentation and boundary location, thus improving the identification accuracy on crystal image boundary and its internal body. The network performance is further enhanced by using hyperparameter optimization and a class balance strategy. Subsequently, another identification strategy is developed to distinguish agglomerated and overlapped crystal images, so as to acquire more individual crystals for statistical measurement. Finally, the 2D size of each crystal is calculated based on the major axis and maximum inscribed circle of its segmented image. Experiments on measuring the 2D size distributions of crystal populations during β-LGA crystallization process are performed to verify the accuracy and efficiency of the proposed measurement method.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116227"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-16DOI: 10.1016/j.measurement.2024.116108
Tianyu Zhang , Xiubin Yang , Qipeng Cao , Cheng Wei , Xibin Cao
{"title":"Imaging geometric simulation and vibration influence analysis of rotary scanning remote sensing satellites","authors":"Tianyu Zhang , Xiubin Yang , Qipeng Cao , Cheng Wei , Xibin Cao","doi":"10.1016/j.measurement.2024.116108","DOIUrl":"10.1016/j.measurement.2024.116108","url":null,"abstract":"<div><div>In response to the lack of in-orbit image and vibration impact measurement methods for new rotary scanning satellites, this paper proposed a satellite imaging geometric simulation method based on 3D rendering engine. Simulated images that reflect strict object-image mapping and real-time dynamic image motion compensation process of TDI cameras are generated. On this basis, the consistency of peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) in measuring vibration influence is analyzed, and a theoretical approximate solution for the sensitive frequency of sinusoidal vibration is obtained, which is inversely proportional to the number of rows of the image to be evaluated and the camera integration time. Finally, the correctness of the image motion compensation model is demonstrated through simulations under different working conditions, and the relative deviation between the experimental values of sensitive frequencies and theoretical results is within −15% to 20%.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116108"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-16DOI: 10.1016/j.measurement.2024.116182
Shuhuan Han , Yanxi Yang , Xubo Zhao , Xinyu Zhang
{"title":"3D measurement method based on Gray code and single sine fringe image","authors":"Shuhuan Han , Yanxi Yang , Xubo Zhao , Xinyu Zhang","doi":"10.1016/j.measurement.2024.116182","DOIUrl":"10.1016/j.measurement.2024.116182","url":null,"abstract":"<div><div>FPP has been widely used in the industrial field and with the development of this technology, improving the measurement efficiency becomes a hot direction. Based above, a new single phase-shifting method is proposed in this paper. First, the background intensity is reduced in the sine fringe image and the processed image is normalized to double precision number [-1,1]. Then, we perform arcsine operation and adjust the results according to the Gray code array to get the wrapped phase. Finally, the wrapped phase is combined with the Gray code array and compensated according to the actual situation to get the unwrapped phase. The proposed method could obtain the relevant 3D information from single sine fringe image. Experiments show that the corresponding measurement efficiency is improved by 50% compared with the complementary Gray code combines 2+1 phase-shifting profilometry and the complementary Gray code combines N+2 phase-shifting profilometry.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116182"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-16DOI: 10.1016/j.measurement.2024.116244
Zesheng Zang , Zhonghui Li , Yue Niu , Shan Yin , Xiangguo Kong
{"title":"Study on the Electric potential response of coal seam damage under mining Influence: A Case from laboratory to field testing","authors":"Zesheng Zang , Zhonghui Li , Yue Niu , Shan Yin , Xiangguo Kong","doi":"10.1016/j.measurement.2024.116244","DOIUrl":"10.1016/j.measurement.2024.116244","url":null,"abstract":"<div><div>Understanding the electrical potential (EP) response of coal mining process and its corresponding relationship with mining disturbances is of great significance for the safety construction of coal mining. In this paper, laboratory experiments and field tests on stress coal EP response were conducted. According to experimental findings, the EP intensity increases with the increase of stress level, and a sudden increase in EP occurs when local fracture happens. During stress wave loading, the EP exhibits periodic fluctuation characteristics. With the attenuation of stress waves, the EP shows exponential decay characteristics. Near the main fault zone, localized strain features are observed, leading to the generation of anomalous EP regions with densely packed contour lines. As the mining working face continues to advance, the stress gradually increases, the EP signal shows a “step-like” periodic upward trend. Significant variations in EP intensity exist across measuring points, yet the overarching evolution trends remain consistent. The intensity and distribution of the EP signal can reflect the stress state and damage of the mining working surface.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116244"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}